Spatial risk assessment of hydrological extremities: Inland excess water hazard, Szabolcs-Szatmár-Bereg County, Hungary

Abstract

Inland excess water hazard was regionalized and digitally mapped using auxiliary spatial environmental information for a county in Eastern Hungary. Quantified parameters representing the effect of soil, geology, groundwater, land use and hydrometeorology on the formulation of inland excess water were defined and spatially explicitly derived. The complex role of relief was characterized using multiple derivatives computed from a DEM. Legacy maps displaying inland excess water events were used as a reference dataset. Regression kriging was applied for spatial inference with the correlation between environmental factors and inundation determined using multiple linear regressions. A stochastic factor derived through kriging the residual was added to the regression results, thus producing the final inundation hazard map. This may be of use for numerous landrelated activities.

Integrated spatial assessment of inland excess water hazard on the Great Hungarian Plain

“…The method was based on multiple linear regression (MLR) analysis (Pálfai et al, ; Pásztor et al, ). A significantly revised and improved version, supported by regression kriging (RK), was introduced by Pásztor, Körösparti, Bozán, Laborczi, and Takács (). Integrated hydrologic models to analyze the relation between spatially‐temporal aggregated indicators of IEW and other hydrologic variables: …”

“…The method was based on multiple linear regression (MLR) analysis Pásztor et al, 2009). A significantly revised and improved version, supported by regression kriging (RK), was introduced by Pásztor, Körösparti, Bozán, Laborczi, and Takács (2015).…”

Towards a continuous inland excess water flood monitoring system based on remote sensing data

“…Kozák, 2006;Rakonczai et al, 2011;Pásztor et al, 2014). Our approach concentrates on the continuous mapping of IEW for monitoring purposes and therefore factors related to the development of IEW are not taken into consideration.…”

“…The second approach uses geographic information systems to combine many factors related to the development of IEW, to create maps describing the vulnerability of areas to the inundations. These maps are normally made at regional scale, which is the scale of most of the input data (Pálfai, 2003;Bozán et al, 2005;Bozán et al, 2009;Pásztor et al, 2014). Vulnerability maps provide information on the general probability that somewhere IEW will occur, but do not give information about the actual occurrences, nor about the development of the phenomenon.…”

Agrogén hatásra kialakuló felszínformák és folyamatok vizsgálata eltérő geomorfológiai adottságú területeken

“…szikesedés) esetében is (Blaskó et al 2011). A relatív reliefnek -a felszín lefolyásviszonyain keresztül -alapvető szerepe van csapadék eredetű (összegyülekezési) belvizek kialakulásában (Pásztor et al 2006), azaz a szántás során létrejövő formák a belvizek kialakulásához vezethetnek, de kedvező esetben a belvíz elvezetésében is szerepet játszhatnak. Mindezek ellenére a síkvidéki területeken létrejött szántásnyomok lefolyás módosító szerepének vizsgálatára ez idáig nem került sor, bár a belvizes időszakok műholdfelvételei egyértelműen bizonyítják az ekebarázdák szerepét a belvizek kialakulásában.…”